Goto

Collaborating Authors

 computer vision and computational photography


CS194-26/294-26 Intro to Computer Vision and Computational Photography

#artificialintelligence

COURSE DESCRIPTION: The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video). We will cover acquisition, representation, and manipulation of visual information from digital photographs (image processing), image analysis and visual understanding (computer vision), and image synthesis (computational photography). Key algorithms will be presented, ranging from classical (e.g. ConvNets, GANs), with an emphasis on using these techniques to build practical systems. This hands-on emphasis will be reflected in the programming assignments, in which students will have the opportunity to acquire their own images and develop, largely from scratch, the image analysis and synthesis tools for solving applications.


r/MachineLearning - [D] AMA: I'm Dr. Genevieve Patterson - cofounder and Chief Scientist at TRASH, a new app that uses computer vision and computational photography to intelligently edit together and set to music any videos you upload. Ask me anything!

#artificialintelligence

I had a lot of fun answering. If you're interested in me or the app, please follow us on twitter or insta (@genevievemp and @thetrashapp). If you sent me messages or emails, I'll get back to you as soon as I can. My name is Genevieve Patterson - I'm the Chief Scientist at TRASH, and a PhD in Computer Vision. I've been working on our AI, Otto, for over a year now, and it's getting smarter with every release - here is a blog post about our latest version, and how it collaborates with user inputs.


Zenith. Tendencias 2017

#artificialintelligence

Where appropriate, we brought back trends from previous reports, once they had hit tipping point or promised new value.We looked ahead to predict which consumer segments will be most affected by the trend, how it will evolve, and identified brands that are leading the way. They are the early adopters of new technology. Millennials – those born after 1982 – are adept at making the most of technology to create a world of difference for themselves. Technology has given them the freedom to redefine the way they work, play, shop and to take control of their daily activities. Their dependence on their smartphones and other new technologies sets their expectations for how they want to engage with brands. Generation Z – defined loosely as those born after the late 1990s – are the first true digital native generation, and are the native speakers of the digital language of computers, video games and the internet.